European Radiology Experimental

Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

The authors of this study recognized the potential of multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) for detecting and...

European Radiology Experimental

4 years ago

Applying 3D CNN to CTA source images to detect ischemic stroke

In this study, the authors investigated how feasible it was to use 3D convolutional neural networks (CNN) to detect ischemic stroke from computed tomography...

European Radiology Experimental

4 years ago

Is there a future for deep learning-based generative models in musculoskeletal radiology?

This article sought to investigate the potential of generative models in the field of MRI of the spine, and did so by performing clinically relevant benchmark...

European Radiology Experimental

5 years ago

Should AI be seen as a threat or an opportunity in medical imaging?

The aim of this narrative review is to take a broader look at the application of Artificial Intelligence (AI), primarily in medical imaging. The authors...

European Radiology Experimental

5 years ago

Using a multiple classifier system for lesion detection and classification in breast MRI analysis

In breast magnetic resonance imaging (MRI) analysis for lesion detection and classification, radiologists agree that both morphological and dynamic features...

European Radiology Experimental

5 years ago

Radiomics of liver MRI predict metastases in mice

This study aimed to investigate whether any texture features show a correlation with intrahepatic tumor growth before the metastasis is visible to the human...

European Radiology Experimental

5 years ago

Comparing computer- and human-extracted imaging phenotypes

This retrospective study sought to investigate if computer-extracted magnetic resonance imaging (MRI) phenotypes of breast cancer could...

European Radiology Experimental

5 years ago